LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring

Land cover classification (LCC) from satellite images is crucial in identifying and monitoring natural disasters, including cyclones, earthquakes, floods, and wildfires. Statistics reveal that accurate disaster classification from satellite data can enhance response times by up to 30 % and improve p...

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Bibliographic Details
Main Authors:	P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Series:	Systems and Soft Computing
Subjects:	Land cover classification Satellite images, Swin transformer Convolutional neural network AME optimization Natural disaster identification Cyclone
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772941925001218
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LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring

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